Five minutes of training can significantly improve people's ability to identify fake faces created by artificial intelligence ...
Traditional rule-based systems, once sufficient for detecting simple patterns of fraud, have been overwhelmed by the scale, ...
OWASP's new Agentic AI Top 10 highlights real-world attacks already targeting autonomous AI systems, from goal hijacking to ...
SQU develops ArabFake, an AI tool using deep learning to detect, classify and assess risks of fake news in Arabic media.
AI-driven attacks leaked 23.77 million secrets in 2024, revealing that NIST, ISO, and CIS frameworks lack coverage for ...
MANATEE COUNTY, Fla. — The Bradenton Police Department is ramping up its efforts to stop scamming in the area, specifically credit and debit card scammers. Recently, the department received a grant ...
Ahrefs published arguably misinterpreted research that nonetheless yielded surprising insights into Generative Engine ...
New research reveals organized networks linking paper mills, intermediaries, and compromised academic journals ...
A new sample of the ToneShell backdoor, typically seen in Chinese cyberespionage campaigns, has been delivered through a kernel-mode loader in attacks against government organizations.
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AI is getting better and better at generating faces — but you can train to spot the fakes
Surprisingly, the training increased accuracy by similar amounts in super recognizers and typical recognizers, Gray said.
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